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qBraid's release is a quantum software and infrastructure update: an orchestration layer for scheduling and operating QPUs, plus hosted GPU simulators with stated limits of 35 qubits for exact state-vector simulation and 500 for weakly entangled circuits via tensor networks. Most of the performance claims come from the vendor, so independent benchmarks would be needed to judge them. For readers, the practical question is whether NVIDIA's CUDA-Q and NVQLink integration delivers real-time QEC decoding on production hardware, beyond the early-access announcements.

Sources coveringQuantum Computing Report, The Verge

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qBraid Unveils qBraid OS and Launches Hosted GH200 GPU Simulators at NVIDIA GTC Berlin

Quantum Computing ReportOctober 22, 20263 min read

At NVIDIA GTC Berlin, qBraid unveiled qBraid OS, an agentic operating system for managing quantum processing units, and launched two hosted GPU-accelerated quantum simulators on NVIDIA GH200 Grace Hopper Superchips. The qBraid OS integrates with NVIDIA CUDA-Q and NVQLink for real-time QEC decoding and classical co-processing, while the gpu-sv and gpu-tn simulators offer significant performance improvements for quantum circuit simulation, supporting up to 35 and 500 qubits respectively. The post qBraid Unveils qBraid OS and Launches Hosted GH200 GPU Simulators at NVIDIA GTC Berlin appeared first on Quantum Computing Report.

Quantum cloud orchestration platform qBraid has introduced qBraid OS, an agentic operating system designed for quantum hardware manufacturers and supercomputing centers to manage, schedule, and operate quantum processing units (QPUs). Unveiled at NVIDIA GTC Berlin, the software bridges physical quantum processors with CPU and GPU supercomputing clusters using the NVIDIA CUDA-Q platform…

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